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To design an efficient and integrated framework for automated and simple data acquisition and processing targeted for first response scenarios.

Utilizes existing software/hardware integration tools and primarily off‐the‐shelf components. Use the modular system architecture for development of new applications. System construction is preceded by the analysis of currently available devices for specific data acquisition and processing.

The development and integration of data acquisition and processing tools for first responder scenarios can be rapidly achieved by the modular and already existing software/hardware integration platform. Data types processed by this system are biometrics, live video/audio and textual/command data. The data acquisition is followed by the prompt dissemination of information from the incident scene thus overcoming interoperability issues.

Integration of new modules is achieved through simple system upgrades – new applications are created and integrated while the rest of the platform remains intact. Off‐the‐shelf components used eliminate the need for specialized hardware development. The speech user interface allows simple interaction with the system in an eyes‐off, hands‐off manner.

The system represents an efficient platform for integrated data acquisition and processing specially targeted for first response. The test‐bed flexibility allows for straightforward integration of devices/applications handling new data type as required by the user.

This study aims to explain the impact of the Beijing Olympic Games 2008 on China's image in the international TV media. It applies agenda-setting theory to analyse foreign TV coverage of the Olympics in nine countries. Using Rivenburgh's national image richness construct, it attempts to make sense of the coverage before and after Beijing 2008, particularly its impact on the image of the host country. The study concludes that the breadth and attribution of China's image remained relatively stable, that these factors did not improve China's national image directly but that indirectly they raised awareness of China in the international media and framed the host country's image more clearly.

Face the process yield rate improvements of motherboard, although general enterprises finish deployment goal of each functions by overall quality managements, through quality improvement methods, industry engineering methods, plan‐do‐check‐act (PDCA) methods and other improvement solutions, but it is only can be improved partially and unable to enhance the yield rate of product to the target. It only can takes one step ahead to enhance the process yield rate of motherboard with six sigma (6 σ) overall DMAIC process and tactics. This research aimed to use six sigma quality improvement tactics by DMAIC systematic procedure and tactics, and find the key factors that effect to the process yield rate of surface mount technology. It also identified the keys input and process and output index to satisfy customer requirements and internal process index. The results showed that the major effective factors by fishbone and process failure modes and effects analysis (PFMEA). If the index of input and output that can be quantified, the optimum parameter can be found through design of experiment to ensure that the process is stable. If the factor of input and output that cannot be quantified, we found out the effective countermeasure by Mind_Mapping, make sure whole processes can be controlled stably, to reach the high product quality and enhance the customer satisfaction.

“WHAT a place to be in, is an old library! It seems as though all the souls of all the writers, that have bequeathed their labours to these Bodleians, were reposing here, as in some dormitory or middle state. I do not want to handle, to profane the leaves, their winding sheets… I seem to inhale learning, walking amid their foliage.” Thus wrote Charles Lamb, of the Bodleian Library, which is the largest library to bear the name of a private benefactor, and amongst British libraries, is second only in importance to the British Museum.

Given its innovative characteristics and increasing popularity, the Bitcoin, and other virtual currencies, are expected to become mainstream, leading to the need for a generally accepted accounting treatment. Currently, however, there are no accounting standards which offer guidance on the recognition and measurement of these virtual currencies. To this end, the purpose of this paper is to determine a conceptual approach for accounting for the Bitcoin, grounded in the theories of neoliberalism and stewardship.

The research adopts an interpretive mixed-method approach. The relevant literature is analysed to identify key characteristics of the Bitcoin. These, as well as the elements of accounting policies inspired by neoliberalism and stewardship, form row and column headings in a correspondence matrix completed by 40 financial reporting experts. The correlations between rows and columns (developed using principal component analysis) are used to identify possible recognition and measurement requirements for the Bitcoin. Semi-structured interviews are used to complement the correspondence analysis.

The correspondence analysis and interviews reveal an emphasis on cost and fair value proposed by models grounded in stewardship and neoliberalism, respectively. The primary factor at work is the need to account for the underlying economics of the unit of account, something which is informed heavily by an organisation’s business model. Cost and fair value may be conceptual opposites, but in the eyes of respondents, these need to be used to achieve the single goal of communicating the economic rationale for holding the Bitcoin.

The study is based on a purposefully selected sample of experts and lacks the exploratory potential of purely qualitative research. Nevertheless, it makes novel use of a correspondence analysis to provide an initial frame of reference for developing an accounting policy for unusual transactions and balances.

The paper is the first to provide a normative perspective on the accounting for this poorly understood “currency”. It also adds to the limited body of interpretive accounting research which dispenses with traditional finance paradigms and positivist models to provide practical recommendations. Finally, the paper offers an innovative approach, using a correspondence analysis and detailed interviews, for developing an accounting policy for transactions not specifically within the scope of existing accounting standards.

In a full blaze of comings and goings, it is unnecessary to remind ourselves that the holiday season is upon us; mass travel to faraway places. The media have for months, all through the winter, been extolling a surfeit of romantic areas of the world, exspecially on television; of colourful scenes, exotic beauties, brilliant sunshine everywhere; travel mostly by air as so‐called package tours — holidays for the masses! The most popular areas are countries of the Mediterranean littoral, from Israel to Spain, North Africa, the Adriatic, but of recent years, much farhter afield, India, South‐east Asia and increasingly to the USA.

Evolution can be easily observed in nature world, and this phenomenon is a research hotspot no matter in natural science or social science. In crowd science and technology, evolutionary phenomenon exists also among many agents in crowd network systems. This kind of phenomenon is named as crowd co-evolutionary, which cannot be easily studied by most existing methods for its nonlinearity. This paper aims to proposes a novel simulation framework for co-evolution to discover improvements and behaviors of intelligent agents in crowd network systems.

This paper introduces a novel simulation framework for crowd co-evolutions. There are three roles and one scene in the crowd. The scene represented by a band-right to a ringless diagram. The three roles are unit, advisor and monitor. Units find path in the scene. Advisors give advice to units. Monitors supervise units’ behavior in the scene. Building a network among these three kinds member, influencing individual relationships through information exchange, and finally enable the individual to find the optimal path in the scene.

Through this simulation framework, one can record the behavior of an individual in a group, the reasons for the individual's behavior and the changes in the relationships of others in the group that cause the individual to do so. The speed at which an individual finds the optimal path can reflect the advantages and disadvantages of the relationship change function.

The framework provides a new way to study the evolution of inter-individual relationships in crowd networks. This framework takes the first-person perspective of members of the crowd-sourced network as the starting point. Through this framework, the user can design relationship evolution methods and mathematical models for the members of different roles, so as to verify that the level of public intelligence of the crowd network is actually the essence of the rationality of the membership relationship.

This article examines how reinsurance coupled with new financial instruments can expand coverage to areas exposed to catastrophe losses from natural disasters, and demonstrates how reinsurance and the catastrophe‐linked financial instruments can be combined to lower the price of protection from its current level. A simple example illustrates the relative advantages and disadvantages of pure catastrophic bonds and pure indemnity reinsurance in supporting a structure of payments contingent on certain extreme events occurring. The authors suggest ways to combine these two instruments using customized catastrophe indices to expand coverage and reduce the cost of protection. This article states six principles for designing catastrophic risk transfer systems and discusses practical issues for implementation, and then concludes with suggestions for future research.